Anisotropic Median Filtering for Stereo Disparity Map Refinement

Nils Einecke, Julian Eggert

2013

Abstract

In this paper we present a novel method for refining stereo disparity maps that is inspired by both simple median filtering and edge-preserving anisotropic filtering. We argue that a combination of these two techniques is particularly effective for reducing the fattening effect that typically occurs for block-matching stereo algorithms. Experiments show that the newly proposed post-refinement can propel simple patch-based algorithms to much higher ranks in theMiddlebury stereo benchmark. Furthermore, a comparison to state-of-the-artmethods for disparity refinement shows a similar accuracy improvement but at only a fraction of the computational effort. Hence, this approach can be used in systems with restricted computational power.

Paper Citation

in Harvard Style

Einecke N. and Eggert J. (2013). Anisotropic Median Filtering for Stereo Disparity Map Refinement . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 189-198. DOI: 10.5220/0004200401890198

in Bibtex Style

@conference{visapp13,
author={Nils Einecke and Julian Eggert},
title={Anisotropic Median Filtering for Stereo Disparity Map Refinement},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={189-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004200401890198},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Anisotropic Median Filtering for Stereo Disparity Map Refinement
SN - 978-989-8565-48-8
AU - Einecke N.
AU - Eggert J.
PY - 2013
SP - 189
EP - 198
DO - 10.5220/0004200401890198